ArticleBMC health services research2020
Measuring productivity of healthcare services under environmental constraints: evidence from China.
Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- The impact of digital economy on primary healthcare institution efficiency: evidence from China based on spatial effect analysis.BMC primary care · 2026Article
- Efficiency assessment and demand forecasting in China's primary healthcare system: a comprehensive SBM-DDF-GML analysis.Frontiers in public health · 2026Article
- Efficiency of the healthcare system and the impact of smoking bans: a DEA analysis of the Guangdong-Hong Kong-Macau Greater Bay Area in Asia.Frontiers in public health · 2025Article
- Efficiency evaluation, regional technological heterogeneity and determinant of total factor productivity change in China's healthcare system.Scientific reports · 2024Article
- Evaluation of healthcare efficiency in China: a three-stage data envelopment analysis of directional slacks-based measure.Frontiers in public health · 2024Article
- Healthcare services efficiency and its intrinsic drivers in China: based on the three-stage super-efficiency SBM model.BMC health services research · 2023Article
- Using Shannon Entropy to Improve the Identification of MP-SBM Models with Undesirable Output.Entropy (Basel, Switzerland) · 2022Article
- The Core of Healthcare Efficiency: A Comprehensive Bibliometric Review on Frontier Analysis of Hospitals.Healthcare (Basel, Switzerland) · 2022Review
- Research on the improvement of total factor productivity in China's power industry: a perspective of technological heterogeneity.Environmental science and pollution research international · 2022Article
- Exploration and Analysis of the Educational Management of University Students in the Context of Environmental Constraints.Journal of environmental and public health · 2022Article
- Configuration Analysis of Influencing Factors of Technical Efficiency Based on DEA and fsQCA: Evidence from China's Medical and Health Institutions.Risk management and healthcare policy · 2021Article
- Impact of the development of information society on healthcare efficiency: Empirical evidence from 31 Chinese provinces.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundDespite the growing literature on the efficiency and productivity of the Chinese healthcare system, less attention has been given to examining the undesirable outputs linked to healthcare services, including environmental pollution. Taking the atmospheric environmental pollution resulting from the incineration of medical waste as an undesirable output of the healthcare system, this study analyzed the growth and decomposition of Total Factor Productivity (TFP) of healthcare services across 31 Chinese provinces during the period 2005-2016.
methodsThe Meta-frontier undesirable super-efficiency slack-based measure (SBM) model and the Global Malmquist-Luenberger (GML) Index were employed to analyze the growth and decomposition of TFP using the Max DEA software.
resultsThe results revealed that the years 2009 and 2015 marked significant changes in TFP of healthcare services in Chinese provinces. During the study period, the rate of technological change (TC) slowly declined, whereas the rate of efficiency change (EC) steadily increased. With the national average being the benchmark, the results indicated that: the TFP of 17 provinces and cities exceeded the average, the EC of 16 provinces and cities exceeded the average, the TC of 9 provinces and cities exceeded the average, and the value in the Technology Gap Ratio (TGR) changes of 13 provinces and cities were above the national average.
conclusions(1) The TFP of the healthcare services across China continued to decline slowly during the study period. (2) The effect of technical catch-up in the eastern, central, and western regions of China was significant across the three regions, whereas the effect of technical innovation was negative. (3) The TFP varied considerably among the Chinese provinces. These findings suggest that, under existing environmental constraints, relevant government departments should improve technical innovation in the supply of healthcare services and medical waste treatment, increase technical efficiency in the factor of healthcare production, strengthen regional health planning, and balance the development of regional healthcare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.